Standardization Procedure for Two Instruments for Color Measurement

Abstract

A standardization method was developed to check that a color measuring instrument will perform satisfactorily and that measurements made with it are within acceptable tolerances. Four types of materials were selected to test the instrument: a white opal tile to check nominal 100% reflectance; an amber glass filter to check low and high photometric scale and the wavelength scale at mid range; a gray porcelain tile to check the reflectance scale at mid range; and a pair of polyester plastic samples to check that proper color differences are being measured and calculated. Two instruments were used in this study, a Hunterlab D54 spectrophotometer and a Diano Match-Scan spectrophotometer. Each was interfaced to a mini-computer for collecting data on the test materials. Based on statistical studies of the measurements made on the instruments, two slightly different computer programs were developed which provide guidance for the operator of the instrument through the standardization procedure and make comparisons of the current measured data to previously established norms and tolerances for the same material. The computer programs are 'fail-safe' in the sense that the instrument cannot be used to perform routine tests unless all of the standardization criteria are met.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1981
Accession Number
ADA116350

Entities

People

  • Frederick T. Simon
  • Judith H. Lubar

Organizations

  • Clemson University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acceptability
  • Accuracy
  • Calibration
  • Computer Programs
  • Computers
  • Contracts
  • Crossings
  • Materials
  • Measurement
  • Measuring Instruments
  • Porcelain
  • Reflectance
  • Reliability
  • Spectrophotometers
  • Standardization
  • Standards
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Aerospace Test and Evaluation
  • Battery Technology and Engineering
  • Image Processing and Computer Vision.